Man pages for SSN2
Spatial Modeling on Stream Networks
| AIC.SSN2 | Compute AIC and AICc of fitted model objects |
| anova.SSN2 | Compute analysis of variance and likelihood ratio tests of... |
| augment.SSN2 | Augment data with information from fitted model objects |
| coef.SSN2 | Extract fitted model coefficients |
| confint.SSN2 | Confidence intervals for fitted model parameters |
| cooks.distance.SSN2 | Compute Cook's distance |
| copy_lsn_to_temp | Copy LSN to temporary directory |
| covmatrix.SSN2 | Create a covariance matrix |
| deviance.SSN2 | Fitted model deviance |
| fitted.SSN2 | Extract model fitted values |
| formula.SSN2 | Model formulae |
| glance.SSN2 | Glance at a fitted model object |
| glances.SSN2 | Glance at many fitted model objects |
| hatvalues.SSN2 | Compute leverage (hat) values |
| influence.SSN2 | Regression diagnostics |
| labels.SSN2 | Find labels from object |
| logLik.SSN2 | Extract log-likelihood |
| loocv.SSN2 | Perform leave-one-out cross validation |
| mf04p | Imported SSN object from the MiddleFork04.ssn data folder |
| MiddleFork04.ssn | MiddleFork04.ssn: Middle Fork 2004 stream temperature dataset |
| model.frame.SSN2 | Extract the model frame from a fitted model object |
| model.matrix.SSN2 | Extract the model matrix from a fitted model object |
| names.SSN | names SSN object |
| plot.SSN2 | Plot fitted model diagnostics |
| plot.Torgegram | Plot Torgegram |
| predict.SSN2 | Model predictions (Kriging) |
| print.SSN | Print SSN object |
| print.SSN2 | Print values |
| pseudoR2.SSN2 | Compute a pseudo r-squared |
| reexports | Objects exported from other packages |
| residuals.SSN2 | Extract fitted model residuals |
| SSN2-package | SSN2: Spatial Modeling on Stream Networks |
| ssn_create_distmat | Calculate Hydrologic Distances for an 'SSN' object |
| ssn_get_data | Get a data.frame from an SSN, ssn_lm, or ssn_glm object |
| ssn_get_netgeom | Extract netgeom column |
| ssn_get_stream_distmat | Get stream distance matrices from an 'SSN' object |
| ssn_glm | Fitting Generalized Linear Models for Spatial Stream Networks |
| ssn_import | Import 'SSN' object |
| ssn_import_predpts | Import prediction points into an SSN, ssn_lm, or ssn_glm... |
| ssn_initial | Create a covariance parameter initial object |
| ssn_lm | Fitting Linear Models for Spatial Stream Networks |
| ssn_params | Create covariance parameter objects. |
| ssn_put_data | Put an sf data.frame in an SSN object |
| ssn_simulate | Simulate random variables on a stream network |
| ssn_split_predpts | Split a prediction dataset in an 'SSN' object |
| ssn_subset | Subset an 'SSN' object |
| SSN_to_SSN2 | Convert object from 'SpatialStreamNetwork' class to 'SSN'... |
| ssn_update_path | Update path in an SSN object |
| ssn_write | write an SSN object |
| summary.SSN | Summarize an SSN object |
| summary.SSN2 | Summarize a fitted model object |
| tidy.SSN2 | Tidy a fitted model object |
| Torgegram | Compute the empirical semivariogram |
| varcomp.SSN2 | Variability component comparison |
| vcov.SSN2 | Calculate variance-covariance matrix for a fitted model... |
